
14th Annual Machine Learning Symposium
Friday, March 13, 2020
The New York Academy of Sciences, 7 World Trade Center, 250 Greenwich St Fl 40, New York
Presented By
The New York Academy of Sciences
Machine Learning, a subfield of computer science, involves the development of mathematical algorithms that discover knowledge from specific data sets, and then "learn" from the data in an iterative fashion that allows predictions to be made. Today, Machine Learning has a wide range of applications, including natural language processing, search engine optimization, medical diagnosis and treatment, financial fraud detection, and stock market analysis.
This symposium, the fourteenth in an ongoing series presented by the Machine Learning Discussion Group at the New York Academy of Sciences, will feature Keynote Presentations from leading researchers in both applied and theoretical Machine Learning and Spotlight Talks, a series of short, early career investigator presentations across a variety of topics at the frontier of Machine Learning.
Notice to Abstract Submitters:
The call for abstracts is now closed.
- Abstract acceptance notifications will be made on February 13 -14, 2020
- Accepted abstract submitters will be allowed to register at the Early Bird Rate
- Due to the large number of submissions, written feedback on abstracts will not be provided. Thank you for your understanding.
Registration
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Friday
March 13, 2020
Registration, Continental Breakfast, and Poster Set-up
Welcome Remarks
Keynote Address 1
TBD
Speaker
Audience Q&A
Spotlight Talks: Session 1
Spotlight Talk 1
Spotlight Talk 2
Spotlight Talk 3
Spotlight Talk 4
Spotlight Talk 5
Networking Break and Poster Viewing
Keynote Address 2
Learning from Deep Learning
Speaker
Audience Q&A
Networking Lunch and Poster Viewing
Spotlight Talks: Session 2
Spotlight Talk 6
Spotlight Talk 7
Spotlight Talk 8
Spotlight Talk 9
Spotlight Talk 10
Keynote Address 3
Learning in Repeated Games
Speaker
Audience Q&A
Networking Break
Keynote Address 4
TBD
Speaker


